Annual International Conference on Critical Assessment of Massive Data Analysis
Montreal, Canada | July 15-16, 2024


The scientific program includes keynotes by leading researchers in the field (Dr Catherine Lozupone and Dr Andrey Rzhetsky).


Monday, 15 July 2024

10:40CAMDA Welcome & Overview 
11:00CAMDA Keynote: Exploring drivers of gut microbiome compositional differences in disease and mechanistic pathways to recovery using big dataCatherine Lozupone, University of Colorado, U.S.A.
12:20Lunch and Posters 
14:20The Gut Microbiome based Health Index Challenge - IntroductionKinga Zielińska, Małopolska Centre of Biotechnology, Jagiellonian University, Poland
14:50Integrating Taxonomic and Functional Features for Gut Microbiome Health IndexingNelly Selem Mojica, Centro de Ciencias Matemáticas UNAM, Mexico
15:20Using Gradient Boosting to Predict Health States from Composition and Function of the Gut MicrobiomePatrick Smyth, National Microbiology Laboratory, Canada
15:40Microbiome time series data reveal predictable patterns of changeZuzanna Karwowska, Małopolska Centre of Biotechnology, Jagiellonian University, Poland
16:00Break, Open Networking Time 
16:40CAMDA Invited: Prediction in microbiome scienceJesse Shapiro, McGill University, Montreal, Canada
17:10The Elephant in the Room: Software and Hardware Security Vulnerabilities of Portable Sequencing DevicesCarson Stillman, University of Florida, U.S.A.
17:20Improving genomic epidemiology of Giardia intestinalis with a core genome gene-by-gene subtyping schemaMiguel Prieto, Simon Fraser University, Canada
17:30Analysis of Inverted Repeats in Viral Genomes at a Large ScaleMadhavi Ganapathiraju, Carnegie Mellon University, Qatar
17:40Integration of Spatial Transcriptomics into Multimodal Imaging of Skin AgingChristina Bauer, Medical University of Vienna & University of Applied Science, Krems, Austria
17:501st day summary 
18:15Leaving for CAMDA dinnerMarché des Éclusiers

Tuesday, 16 July 2024

8:40CAMDA Keynote: Computational dissection of complex human diseaseAndrey Rzhetsky, University of Chicago, U.S.A.
10:00Coffee break 
10:40The Synthetic Clinical Health Records Challenge - IntroductionJoaquin Dopazo, Andalusian Public Foundation Progress and Health-FPS, and University Hospital Virgen del Rocío/CSIC/University of Sevilla, Seville, Spain
11:10Predicting Diabetes Complications from Electronic Health Record Visits Using Machine Learning AlgorithmsDaniel Voskergian, Al-Quds University, Palestine
11:30Cluster-based machine learning prediction of diabetes complicationsDaniel Santana-Quinteros, Universidad Nacional Autónoma de México, Mexico
11:50Measures for the Evaluation of Clustering Methods on Single Cell DataOwen Visser, University of Florida, U.S.A.
12:20Lunch and Posters 
14:20The Anti-Microbial Resistance Prediction Challenge - IntroductionPaweł Łabaj, Małopolska Centre of Biotechnology, Jagiellonian University, Poland
14:25The Antimicrobial Resistance Prediction ChallengeAlper Yurtseven, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Saarbruecken, Germany 
14:55Machine learning models for AMR predictionJaime Salvador López Viveros, CCM UNAM, Mexico
15:15ISMB Proceedings: Biomarker identification by interpretable Maximum Mean DiscrepancyDexiong Chen, Max Planck Institue of Biochemistry, Germany
15:35CAMDA Trophy ceremony 
15:45CAMDA summary and closing remarks


Dr Catherine Lozupone

Professor in the Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, U.S.A.

Title:  Exploring drivers of gut microbiome compositional differences in disease and mechanistic pathways to recovery using big data

Abstract: The commensal gut microbiome plays an essential role in protecting against opportunistic pathogens and maintaining immune homeostasis. Dysbiosis, an imbalance in microbial communities, is linked with disease when this imbalance disturbs microbiota functions essential for maintaining health or introduces processes that promote disease. By performing meta-analyses of many studies that have sequenced the 16S ribosomal RNA gene to characterize gut microbial communities in different disease and health contexts, we have defined very young age and Western versus Developing world/Agrarian cultures to be two major axes of gut microbiome compositional variation that are important for explaining variability across healthy humans. Interestingly, among Western adults, individuals with different diseases or microbiome disturbances have migration along both of these major axes of health-associated gut microbiome variation. For instance, obese Western individuals sometimes have microbiomes that cluster closer to Prevotella-rich/Bacteroides-poor microbiome types in the developing world and this is more common in African versus European Americans. Related to age, gut microbiomes of adults with recurrent Clostridioides difficile infection, Inflammatory Bowel Disease, cancer, and intake of broad-spectrum antibiotics all tend to cluster closer to healthy infant gut microbiomes, characterized by low diversity with increased representation of facultative versus strict anaerobes. The relationship between highly disturbed and infant gut microbiome compositions is likely related to parallel processes that occur in primary versus secondary ecological succession, where absence of a complex community of healthy gut commensals allows for the colonization of opportunistic, early succession adapted organism that undergo an ordered turnover of membership. By coupling co-occurrence patterns and longitudinal analyses of dense time-series data with genomic and metabolic network interrogations to explore underlying drivers of microbial cooperation and competition, we have been generating hypotheses regarding important interactions that occur during succession and testing them in humanized mice.

About a speaker: Dr Lozupone is a Professor in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus. Her research focuses on the complex community of microorganisms that inhabit the gastrointestinal tract. She has been heavily involved in the development of popular computational tools for microbial community analysis, such as the UniFrac algorithm for comparing microbial diversity among many samples using phylogenetic information. Dr. Lozupone runs an NIH funded research group that integrates integrative bioinformatics analysis of multi-omic data with experimental confirmation. Her lab is currently working to understand microbiome composition and function in a variety of disease contexts, with an emphasis on the interaction between the gut microbiome, local and systemic immune phenotypes, and metabolic co-morbidity in HIV-infected individuals and on dietary strategies to prevent Clostridioides difficile infection.

Dr Andrey Rzhetsky

Edna K. Papazian Professor of Medicine and Human Genetics, University of Chicago, U.S.A.

Title: Computational dissection of complex human disease

About a speaker: Dr Andrey Rzhetsky is an Edna K. Papazian Professor of Medicine and Human Genetics at the University of Chicago. He is also a Pritzker Scholar, and a Senior Fellow at the Institute for Genomics and Systems Biology at the University of Chicago.  His research is focused on computational dissection of etiology of complex human diseases.

I will cover a collection of interrelated topics in dissection of etiology of complex human diseases, as seen through lens of large-scale medical data analysis.  Individual studies that I will cover focus on mosaic of genetic, environmental, and genetic—environmental interaction factors.  The studies relied on massive medical records from US, Sweden, Denmark, and Japan, and a battery of modeling approaches



Call for Abstracts Opens

26 January 2024

CAMDA Extended Abstracts Deadline

20 May 2024

Late Poster Submissions Deadline

20 May 2024

Late Poster Acceptance Notifications

28 May 2024

CAMDA Acceptance Notification

30 May 2024

CAMDA Conference

15-16 July 2024



previous arrowprevious arrow
next arrownext arrow




We're not around right now. But you can send us an email and we'll get back to you, asap.


Log in with your credentials


Forgot your details?

Create Account